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USDOT CAMMSE UTC WEBINAR SERIES: “Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction”
Event Date:July 31, 2020 – 2:00 PM to 3:30 PM Webinar Date : Friday, July 31 Time: 2:00 – 3:30 pm EST Name of UTC, incl university name: Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE), University of Texas at Austin Topic/Title of webinar: Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human […]
USDOT CAMMSE UTC WEBINAR SERIES: “A SOCIAL SPATIO-TEMPORAL GRAPH CONVOLUTIONAL NEURAL NETWORK FOR HUMAN TRAJECTORY PREDICTION”
Speaker: Christian Claudel, Ph.D., The University of Texas at Austin Time: Friday, July 31, 2:00 – 3:30 pm EST JOIN WEBEX MEETING https://charlotte.webex.com/charlotte/j.php?MTID=m2c445a13b5ccc92d27e295d4f73f7ab7 Meeting number (access code): 120 896 6596 JOIN BY PHONE +1-415-655-0002 US Toll Youtube website: https://www.youtube.com/watch?v=47zTs_j3KrU
DR. MARTIN KANE CONDUCTED OUTREACH ACTIVITIES FOR CAMMSE IN RECENT VIRTUAL SESSIONS OF THE ROWAN COUNTY DRIVERS EDUCATION CLASSES.
Event Date:August 5, 2020 (All day) Dr. Martin Kane Conducted Outreach Activities for CAMMSE in Recent Virtual Sessions of the Rowan County Drivers Education Classes.
DR. MARTIN KANE CONDUCTED OUTREACH ACTIVITIES FOR CAMMSE IN RECENT VIRTUAL SESSIONS OF THE ROWAN COUNTY DRIVERS EDUCATION CLASSES
August 5, 2020 Students Learn How Traffic Engineers Communicate with Drivers As part of the CAMMSE Youth Outreach from UNC Charlotte, Dr. Martin Kane reached out to recent virtual sessions of the Rowan County Drivers Education classes. North Carolina’s youth are required to attend 30 hours of class training, followed by 6 hours of driving. […]
NC-CAV Seminar Series “Anomaly Detection for Autonomous Driving” co-sponsored by CAMMSE
Event Date:September 25, 2020 – 3:00 PM to September 26, 2020 – 3:59 PM Title: Anomaly Detection for Autonomous Driving Speaker: Abdullah Al Redwan Newaz, Ph.D. Date: Friday, September 25, 2020 Time: 3:00 – 4:00 PM Venue: Video Conferencing Weblink: https://ncatedu.webex.com/ncatedu/j.php?MTID=mb428abd5fbcf62b44f916584701a2b53
CAMMSE INES PH.D. CANDIDATE MR. YANG LI WILL HAVE HIS DISSERTATION DEFENSE
Event Date:September 29, 2020 – 8:00 AM to September 30, 2020 – 10:59 AM Dissertation Topic: THE USE OF MACHINE LEARNING METHOD FOR MODELING AND ANALYZING PEDESTRIAN CRASH DATA AND COMPARISONS WITH TRADITIONAL DISCRETE CHOICE MODELING METHODS Doctoral Candidate Name: Yang Li Program: Infrastructure and Environmental Systems Abstract: As one of the most vulnerable entity […]